{"id":3526483,"url":"https://alion.io/job/vk-starshii-data-analitik","title":"Старший дата-аналитик","company":{"id":151,"name":"VK","domain":"vk.com","url":"https://alion.io/company/vk","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":{"grade":"B","score":74,"open_postings":28,"ghost_share":0.321,"stale_share":0,"repost_share":0.464,"time_to_fill_p50_days":29,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Moscow, Russia"],"countries":["RU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":57000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ClickHouse","optional":false},{"name":"Hadoop","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"AppsFlyer SDK","optional":true},{"name":"Grafana","optional":true},{"name":"Pandas","optional":true},{"name":"Python","optional":true},{"name":"Superset","optional":true}],"status":"live","first_seen_at":"2026-10-30T14:20:27Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-10-31T17:32:44Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Задачи\n Спроектировать модель данных под OpenRTB-поток: bid request / bid response, win / loss notice (nurl, burl, lurl), показы, клики, конверсии. Связать их сквозными ключами (request id, imp id, user / device id)\n Построить дашборды для монетизации и продаж: fill rate, bid rate, win rate, eCPM, bid density, таймауты, качество трафика, разрезы по DSP, форматам и плейсментам\n Закрывать ad hoc запросы от продукта, продаж и менеджмента\n Собирать рекламные сегменты: интересы, поведение в сторе (установки, категории, платежи), lookalike, правила обновления и выгрузки в DSP и DMP\n Строить инструменты для анализа рекламных кампаний: self-service отчёты для менеджеров и рекламодателей, пересечение аудиторий, частота, post-click и post-install метрики, оценка инкрементальности\n Управлять A/B-тестами и запуском продуктовых фич: дизайн экспериментов, расчёт мощности и длительности, контроль корректности сплитов, подведение итогов и рекомендации по раскатке\n Требования\n Опыт от трёх лет в programmatic: SSP, DSP, DMP, ad network или AdTech/BigData-подразделение телеком-оператора или банка\n Понимание OpenRTB 2.5/2.6 на уровне логов: какие поля есть в запросе, где теряется аукцион, как считать воронку\n Уверенный SQL на больших объёмах (ClickHouse обязательно, Hadoop/Spark будет плюсом)\n Python для анализа и автоматизации (Pandas, оркестрация через Airflow или аналоги)\n BI: Superset, DataLens, Grafana или аналоги\n Опыт построения аудиторных сегментов и понимание ограничений по данным и 152-ФЗ\n Будет плюсом\n Имеете опыт проведения A/B-тестов: статистические критерии, MDE, CUPED или аналогичное снижение дисперсии, понимание проблемы peeking и множественных сравнений\n Уже работали с платформой экспериментов или участвовали в её построении - 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Docs: https://alion.io/developers"}}